Python for Humanists: Image Similarity
Learn how to identify similar images and texts with Python! This workshop will focus on the task of identifying similar images at scale, but we will also discuss how you can apply same techniques when working with texts as well. We will cover the process of converting cultural heritage materials into “vectors”, the basics of working with vector spaces, and the ways we can use vector spaces to identify similar images and texts.
The seventh offering in our Python for Humanists series, this workshop is designed for participants who have taken the earlier sessions or who otherwise have a general understanding of Python’s syntax and data types. Written tutorials from the prior sessions can be found on the DHLab’s workshop repository on GitHub.
Instructors: Catherine DeRose (DHLab) and Doug Duhaime (DHLab)
This workshop is open to all Yale students, faculty, and staff, but space is limited. To register, visit the YUL Instruction Calendar. If you have registered, you will be sent a Zoom link the day before the workshop. If you don’t receive the email or lose the link, please contact the Digital Humanities Lab.
Participants are asked to come to the workshop with Anaconda Python (version 3.7 or higher) already installed. If you have trouble with the installation, stop by the Digital Humanities Lab’s virtual Office Hours for help.
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